Linear Optimization 640:354:02


Course Outline

 

   Date 

 Topic 

 Reading

    01/22

 The Linear Programming Problem 

  1.1

    01/26

 Matrix notation. Geometry of Linear Programming Problems

  1.2, 1.3

    01/29

 Geometry of Linear Programming Problems (continued). The Extreme Point Theorem. 

  1.3, 1.4

    02/02

 Basic Solutions.

  1.5

    02/05

 Basic Solutions (continued) 

  1.5

    02/09

 The Simplex Method for problems in standard form

  2.1

    02/12

The Simplex Method for problems in standard form (continued).Degeneracy and cycling

  2.1, 2.2

    02/16

 Artificial variables

  2.3

    02/19

 Artificial variables (continued)

  2.3

    02/23

 Midterm Exam (covers sections 1.1-2.3)

 

    02/26

 Duality. The Duality Theorem

 3.1, 3.2

    03/01

 The Duality Theorem(continued) 

 3.2

    03/04

  Computational relations between the Primal and Dual problems

  3.3

    03/08

 The Dual Simplex Method

  3.4

    03/11

 The Revised Simplex Method.

 

    03/22

  Sensitivity Analysis

 

    03/25

 Examples of Integer Programming Problems. Cutting Plane Methods. 

  4.1, 4.2

    03/29

  Cutting Plane Methods (continued). Branch and Bound Methods

  4.2, 4.3

    04/01

 Branch and Bound Methods (continued)

  4.3

    04/05

  Midterm Exam (covers sections 3.1-4.3)

 

    04/08

 The Transportation Problem

  5.1

    04/12

 The Transportation Problem (continued)

  5.1

    04/15

 The Assignment Problem 

  5.2

    04/19 

 Graphs and Networks: basic definitions. The Maximal Flow Problem

  5.3, 5.4

    04/22

 The Maximal Flow Problem (continued)

  5.4

    04/26

  The Shortest Route Problem

  5.5

    04/29

  The Critical Path Method

  5.6

    05/03

  Review

 

    05/12
 8:00-11:00PM

   Final Exam (covers all material) 

 


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